Hybrid fault diagnostics and prognostics system development for motor bearings health monitoring-Reference-Cited by-同舟云学术

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Hybrid fault diagnostics and prognostics system development for motor bearings health monitoring

Published:2024-08-07 Issue: Volume: Page:1-16
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Abbasi Muhammad Asim¹²,Huang Shiping¹²³,Khan Aadil Sarwar⁴

Affiliation:

1. China-Singapore International Joint Research Institute, Guangzhou, China

2. South China University of Technology, Guangzhou, China

3. School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China

4. University of Azad Jammu And Kashmir, Muzaffarabad, AJK, Pakistan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2024.2385920

Reference50 articles.

1. Development of a fault diagnostics and tolerance system: An application to continuous stirred tank reactor

2. Parity-based robust data-driven fault detection for nonlinear systems using just-in-time learning approach

3. Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process

4. Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model

5. A review on data-driven fault severity assessment in rolling bearings

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